In this paper, we made comparison among different parametric ,nonparametric and semiparametric estimators for partial linear regression model users parametric represented by ols and nonparametric methods represented by cubic smoothing spline estimator and Nadaraya-Watson estimator, we study three nonparametric regression models and samples sizes  n=40,60,100,variances used σ²=0.5,1,1.5 the results  for the first model show that N.W estimator for partial linear regression model(PLM) is the best followed the cubic smoothing spline estimator for (PLM),and the results of the second and the third model show that the best estimator is C.S.S.followed by N.W estimator for (PLM) ,the

The traditional method adopted in the preparation of the general budget in Iraq is not consistent with developments in the size specification response and spending and the associated weakness in the size of the amounts earmarked for investment projects which could adversely affect future generations and not to enable them to continue the development, which requires talking to estimate the adoption of style public expenditure in the state budget and reduce waste and extravagant where and invest public revenues of the state in investment projects and preservation of the environment and natural resources in order to ensure the benefit of future generations system, according to the system serves to achieve the overwhelming majority of member

المستخلص : في هذا البحث تم تقدير انموذج دالة التحويل في السلاسل الزمنية بأستعمال طرائق مختلفة منها معلميه  متمثلة بطريقة طريقة دالة الترجيح الشرطية Conditional Likelihood Function فضلاً عن استعمال مقدرات لا معلميه تتمثل بطريقتين الانحدار الخطي الموضعي Local Linear Regression وطريقة الشريحة التمهيدية التكعيبية cubic smoothing spline والهدف من هذا البحث هو مقارنة تلك المقدرات مع انموذج دالة التحويل اللاخطية المعلمية باستعمال اسلوب ال

Implementation of TSFS (Transposition, Substitution, Folding, and Shifting) algorithm as an encryption algorithm in database security had limitations in character set and the number of keys used. The proposed cryptosystem is based on making some enhancements on the phases of TSFS encryption algorithm by computing the determinant of the keys matrices which affects the implementation of the algorithm phases. These changes showed high security to the database against different types of security attacks by achieving both goals of confusion and diffusion.

The logistic regression model is an important statistical model showing the relationship between the binary variable and the explanatory variables.                                                        The large number of explanations that are usually used to illustrate the response led to the emergence of the problem of linear multiplicity between the explanatory variables that make estimating the parameters of the model not accurate.    

Steganography is a technique of concealing secret data within other quotidian files of the same or different types. Hiding data has been essential to digital information security. This work aims to design a stego method that can effectively hide a message inside the images of the video file.  In this work, a video steganography model has been proposed through training a model to hiding video (or images) within another video using convolutional neural networks (CNN). By using a CNN in this approach, two main goals can be achieved for any steganographic methods which are, increasing security (hardness to observed and broken by used steganalysis program), this was achieved in this work as the weights and architecture are randomized. Thus,

Regression models are one of the most important models used in modern studies, especially research and health studies because of the important results they achieve. Two regression models were used: Poisson Regression Model and Conway-Max Well-  Poisson), where this study aimed to make a comparison between the two models and choose the best one between them using the simulation method and at different sample sizes (n = 25,50,100) and with repetitions (r = 1000). The Matlab program was adopted.) to conduct a simulation experiment, where the results showed the superiority of the Poisson model through the mean square error criterion (MSE) and also through the Akaiki criterion (AIC) for the same distribution.

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The study of cuneiform texts is very important for finding out the ancient history of Iraq and its civilization, as well as the close relation among languages, especially Semitic, the mother language to which both Akkadian and Arabic belong, the matter that clarifies the linkage among them. The Akkadian language is among these Jazri (a Semitic branch) languages, besides Arabic. It is the most ancient one. It consisted of a lot of genuine linguistic rules derived from the mother Jazri language. Contrastive Akkadian studies approved these linguistic rules. Due to the close linkage that relates Akkadian language to its sister Arabic , as they both relate to the same family, the researcher an verbs and compared them with studied aspects and moo

وصلت العديد من حقول النفط حول العالم إلى مرحلة النضج وتوقفت عن إنتاج النفط اقتصادياً. فمن الضروري استخراج النفط الخام من تقنيات الاستخلاص الثلاثي بالإضافة إلى المرحلتين الأولية والثانوية لتلبية الطلب المتزايد على الطاقة في جميع أنحاء العالم، مما يؤدي إلى ارتفاع أسعار النفط. ولهذا السبب، سيصبح الاستخلاص المعزز للنفط أكثر أهمية في السنوات القادمة. ولزيادة استخلاص النفط، فإن الأسلوب الممكن هو حقن المواد

Wireless Sensor Networks (WSNs) are promoting the spread of the Internet for devices in all areas of
life, which makes it is a promising technology in the future. In the coming days, as attack technologies become
more improved, security will have an important role in WSN. Currently, quantum computers pose a significant
risk to current encryption technologies that work in tandem with intrusion detection systems because it is
difficult to implement quantum properties on sensors due to the resource limitations. In this paper, quantum
computing is used to develop a future-proof, robust, lightweight and resource-conscious approach to sensor
networks. Great emphasis is placed on the concepts of using the BB8